Identifying Qualitative Between-Subject and Within-Subject Variability: A Method for Clustering Regime-Switching Dynamics

Frontiers in Psychology

article

Lu Ou¹  Alejandro Andrade¹  Rosa A. Alberto²  Arthur Bakker²  Timo Bechger¹ 

[1] Inc., United States;Department of Mathematics, Freudenthal Institute, Utrecht University

关键词: clustering;    regime-switching model;    functional data analysis;    time-series data;    dynamic model;   

DOI  :  10.3389/fpsyg.2020.01136

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Technological advancement provides an unprecedented amount of high-frequency data of human dynamic processes. In this paper, we introduce an approach for characterizing qualitative between and within-subject variability from quantitative changes in the multi-subject time-series data. We present the statistical model and examine the strengths and limitations of the approach in potential applications using Monte Carlo simulations. We illustrate its usage in characterizing clusters of dynamics with phase transitions with real-time hand movement data collected on an embodied learning platform designed to foster mathematical learning.

【 授权许可】

CC BY